Senior AI Architect

Overview

A rapidly growing robotics and warehouse automation company in the Greater Boston area is hiring a full-time Physical AI Architect to lead the development of next-generation AI systems deployed on real-world robotic platforms. This role focuses on physical AI, diffusion-based policy learning, optimal control, robot manipulation, perception, planning, and hardware-integrated autonomy systems. The position offers the opportunity to define the technical vision for AI-driven robotics while working directly with production hardware, advanced machine learning models, and high-throughput warehouse automation systems.

• Define and drive the technical vision and roadmap for AI-driven robotics autonomy systems that combine modern AI techniques with robust robotic control and hardware integration.
• Architect production-ready autonomy software stacks, mentor senior engineers, and influence the long-term autonomy strategy of a rapidly scaling robotics organization.
• Lead the development and deployment of AI-powered robotic systems in real-world production environments.
• Collaborate with hardware teams to integrate perception, planning, and control with physical systems.
• Measure success through deployed systems and impact on operations rather than solely through research outputs.

• 35% Physical AI Architecture & Technical Strategy
• 30% Robotics AI & Autonomy Development
• 20% Hardware Integration & System Optimization
• 15% Technical Leadership & Mentorship

• 60% Hands On
• 20% Technical Leadership
• 20% Team Collaboration

Required Skills & Experience

• Proven experience deploying AI-powered robotic systems into production environments
• MS or PhD in Robotics, Computer Science, Artificial Intelligence, or related field, or equivalent industry experience
• Deep expertise in diffusion models and diffusion-based policy learning for robotics applications
• Strong knowledge of optimal control theory, model predictive control (MPC), trajectory optimization, and feedback control systems
• Experience architecting end-to-end robotic autonomy systems including perception, planning, and control
• Hands-on experience integrating AI systems with physical robotic hardware
• Experience with sensor technologies including RGB-D cameras, force/torque sensors, encoders, and related systems
• Experience with embedded compute platforms such as NVIDIA Jetson, ARM-based systems, or similar hardware
• Strong programming skills in Python and C++
• Experience with ROS 2 or similar robotics middleware frameworks
• Strong understanding of real-time robotic systems and performance optimization
• Excellent communication and technical leadership skills

Desired Skills & Experience

• Experience deploying robot manipulation and warehouse automation systems
• Expertise in score-based generative models, behavior cloning, or learning-based planning systems
• Experience with actuator controls, embedded systems, and hardware/software co-design
• Familiarity with FPGA-based compute architectures
• Experience scaling and mentoring high-performing robotics engineering teams
• Strong understanding of system observability, fault tolerance, and operational reliability
• Experience working within startup or high-growth robotics organizations
• Background in logistics, warehouse automation, or industrial robotics preferred

• Bonus eligible
• Equity eligible

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted By:
Shane Tomlinson